仓库/Skill 库

面向研究的 Skill 定义精选集合，覆盖文献综述、证据综合与研究空白分析；汇总多个社区驱动的 Skill，便于在 Codex 或 Copilot 工作流中对比、审阅与按需安装A curated collection of research-focused skill definitions for literature review, evidence synthesis, and research-gap analysis. It brings together multiple community-driven skills so they can be compared, reviewed, and selectively installed for use in Codex or Copilot workflows.

关于 AI、IoT、UAV、高光谱传感及其他数字技术用于稻瘟病检测、监测、预测与管理的系统综述的可复现分析流水线与配套数据。Reproducible analysis pipeline and supporting data for a systematic review of AI, IoT, UAV, hyperspectral sensing, and other digital technologies for rice blast detection, monitoring, prediction, and management.

一个用于研究入侵检测系统 (IDS) 在时间分布漂移下何时应进行适应的可复现研究框架。该项目评估了一个分阶段决策流水线，结合漂移筛查、新颖性检测与成本感知的适应触发器，以判断重训练是否必要且有益。A reproducible research framework for investigating when an Intrusion Detection System (IDS) should adapt under temporal distribution shift. The project evaluates a staged decision pipeline combining drift screening, novelty detection, and cost-aware adaptation triggers to determine whether retraining is necessary and beneficial.

论文一：NL2SQL 歧义检测——M1.5 分类法、确定性基线、人工金标评估与可复现研究制品Paper 1: NL2SQL Ambiguity Detection — M1.5 taxonomy, deterministic baseline, human-gold evaluation, reproducible research artifact

面向 CBSE、ICSE、AP SSC（1-10 年级）的 AI 备考平台 —— 基于知识点先决关系 DAG 的自适应练习、行为分析、实时竞技房间，以及减少绝大多数 AI 调用的 7 层缓存。AI-powered exam prep for CBSE, ICSE and AP SSC (Grades 1-10) — adaptive practice over a topic-prerequisite DAG, behavioural analysis, live competition rooms, and a 7-layer cache that keeps most AI calls from ever firing.

IcePaw — 本地优先的 LLM 对话工作站。多 Agent 协作、工具调用、知识库、委派任务，数据全部留在本地（Tauri + Rust + Vue）

HateMirage——可解释的伪仇恨检测与多维推理，ICON 2026 共享任务。在 HateMirage 语料库（4,530 条带标注的伪仇恨评论）上进行目标识别 + 意图与隐含意义生成。HateMirage - Explainable Faux Hate Detection and Multi-Dimensional Reasoning - Shared Task @ ICON 2026. Target identification + Intent and Implication generation over the HateMirage corpus (4,530 annotated Faux Hate comments).

AI 驱动的 DevSecOps 可观测平台，基于 Gemini 2.5、LangChain 与 RAG 驱动的 runbook 监控基础设施、检测威胁并自动响应。AI-powered DevSecOps observability platform; monitors infrastructure, detects threats, and responds using Gemini 2.5, LangChain, and RAG-powered runbooks.

Nexus Memory AI Plugin：面向 2026 持久化上下文的 OpenClaw 与 Hermes MCP 集成。Nexus Memory AI Plugin: OpenClaw & Hermes MCP Integration for Persistent Context 2026

自主研究 Agent：搜索本地文档、互联网及其内置知识，回答复杂研究问题An autonomous research agent that searches your documents, the web, and its own knowledge to answer complex research questions.

端到端 Python RAG 框架，包含文档摄取、语义搜索、对话式 AI、多用户检索、可观测性、结构化输出与评估。An end-to-end Python RAG framework featuring document ingestion, semantic search, conversational AI, multi-user retrieval, observability, structured outputs, and evaluation.

借助这款轻量、原生的 Text Services Framework 输入法编辑器在 Windows 上输入孟加拉语，无需后台进程。Type Bangla on Windows with this lightweight, native Text Services Framework Input Method Editor that operates without background processes.

AI 研究工作台：提供 arXiv 论文推荐、论文/摘录文件夹，以及可将想法收藏的书签式对话窗口AI research workspace — arXiv paper recommendations, folders of papers/excerpts, and chat windows you bookmark ideas into.

中立的 MCP server 信任注册中心——连接前先查验。Neutral trust registry for MCP servers — check before you connect

本地优先、证据优先的研究工作区：CLI 与 Web UI 用于管理来源、论断、引用、产物、研究问题与项目记忆；默认确定性执行，AI 功能仅在显式启用时启用Local-first, evidence-first research workspace: CLI and web UI for managing sources, claims, citations, artefacts, research questions, and project memory. Deterministic by default; AI features are explicit opt-in only.

本仓库记录了我通过对研究论文的结构化分析、文献综述以及对基因组学、转录组学、生物信息学和 AI 在生命科学中应用的笔记，对计算生物学的持续探索。This repository documents my ongoing exploration of computational biology through structured analyses of research papers, literature reviews, and notes on genomics, transcriptomics, bioinformatics, and AI applications in life sciences.

面向系统文献综述的确定性、饱和度感知滚雪球方法：可配置的停止规则、捕获-再捕获召回率估计、哈希校验的可复现性。Deterministic, saturation-aware snowballing for systematic literature reviews: configurable stopping rules, capture-recapture recall estimation, hash-verified reproducibility.

常态化跨领域研究智库：系统评价与方法学文档，特色方法是对零结果与阴性结果的取证式处理。A standing cross-domain research think tank: systematic reviews and methodology documentation, with forensic treatment of null and negative results as its distinctive method.

Windows 上 Claude Code 的计算机使用能力：一个 MCP server，让 Claude 能够看到你的屏幕并操控鼠标和键盘，对齐 Anthropic 的 computer-use 动作集。Computer use for Claude Code on Windows: an MCP server that lets Claude see your screen and drive mouse and keyboard, mirroring Anthropic's computer-use action set

Agentic-SDLC 审计工具，整个工具完全通过其所记录的流水线自身构建：规划、agent 构建、对抗式 AI 审查、CI 卡点、人工授权合并。针对 AI agent 开发规范输出确定性评分报告。Agentic-SDLC audit tool built entirely through the pipeline it documents: plan, agent build, adversarial AI review, CI gate, human-authorized merge. Deterministic scored reports on AI-agent development discipline.

简介：使用机器学习与数据挖掘技术预测学业表现。技术栈：Python、机器学习、数据科学 AI 研究实验室。教育数据挖掘文献综述、数据集采集与预处理、分类算法实现、模型性能对比、学业成功影响因素分析Description: Predict academic performance using machine learning and data mining techniques Technology: Python, Machine Learning, Data Science AI Research Lab Literature review on educational data mining Dataset collection and preprocessing Implement classification algorithms Compare model performance Analyze factors affecting student success

Rustok MCP server —— 通过 MCP（SSE + stdio）为 AI Agent 提供自托管钱包工具的轻量客户端，不托管任何密钥。Rustok MCP server — self-custody wallet tools for AI agents over MCP (SSE + stdio). Thin client, holds no keys.

SURF2026 计算金融项目，研究感知自由边界的美式期权风险曲面，使用 CN/PSOR 基准、文献综述、实验报告以及 Codex 辅助的分步研究规划SURF2026 computational finance project on free-boundary-aware American option risk surfaces, using CN/PSOR benchmarks, literature review, experiment reports, and step-by-step Codex-assisted research planning.

可复用的 Codex skills，涵盖文献综述、学术写作、数学推理、数值仿真以及可发表的图表。Reusable Codex skills for literature review, academic writing, mathematical reasoning, numerical simulation, and publication-ready figures.

Experimental Qwen3.5-derived 752M LLM：基于 Qwen3.5 的实验性 752M 参数 LLM，采用 CPT + SFT 两阶段流程，面向编码、技术推理与指令跟随。Experimental Qwen3.5-derived 752M LLM: a two-phase CPT + SFT pipeline for coding, technical reasoning, and instruction following.

硕士研究项目中用于统计分析与数据可视化的 R 脚本R scripts used for statistical analysis and data visualisation in my MSc research project.

使用 OpenAI Python SDK 嵌入开发者工具文档并对查询匹配进行排序。Embed developer-tool documents and rank query matches with the OpenAI Python SDK.

基于 CrewAI、PostgreSQL 与科学 API 集成的多 Agent PRISMA 系统综述编排器Multi-agent PRISMA systematic review orchestrator with CrewAI, PostgreSQL, and scientific API integrations

新西兰 PIC Party 项目，涉及为期 59 天的政党注册议题、独立选区候选人、基于良知的政府组建以及正在浮现的生活成本政策。本站呈现提案、研究问题、政治讽刺与政策建模；非选举委员会建议，不代表官方选举。PIC Party New Zealand project, the 59-day party-registration issue, independent electorate candidates, conscience-based government formation and emerging cost-of-living policy. This site presents proposals, research questions, political satire and policy modelling. It is not Electoral Commission advice and does not represent an official election.

一个窗口管理你拥有的每个编码 Agent。Claude Code、Codex、Gemini CLI、Qwen、Ollama 等各占独立终端面板。支持 Windows 和 macOS，免费，无需账号，无需服务器。One window for every coding agent you own. Claude Code, Codex, Gemini CLI, Qwen, Ollama and more, each in its own terminal pane. Windows and macOS, free, no accounts, no server.

语言驱动、无锁的分布式工作流引擎 — 用 FFL 编写工作流，运行时负责执行、依赖解析、恢复和热部署。Language-directed, lock-free distributed workflow engine — write workflows in FFL, the runtime handles execution, dependency resolution, recovery, and live deployment.

葡萄牙国家预算执行数据分析 — 基于 pandas 的数据流水线，并针对公共支出模式提出五个研究问题Analysis of Portuguese State Budget execution data — pandas pipeline and five research questions on public spending patterns

CampusIQ 是由 AI 驱动的学术知识管理与问答系统，借助 RAG、语义搜索、OCR、图像理解以及基于 LLM 的回答生成，实现教育内容的智能检索与分析。CampusIQ is an AI-powered academic knowledge management and question-answering system that enables intelligent retrieval and analysis of educational content using RAG, semantic search, OCR, image understanding, and LLM-based response generation.